- Introduced a new `translatedNoticesScanner` interface for scanning MinIO for daily translated notice counts.
- Enhanced the `repository` struct to include fields for managing translated notice scope and caching.
- Implemented the `ScanTranslatedNotices` method in the `StorageClient` to retrieve daily counts and total from MinIO.
- Updated the `Statistics` method in the repository to utilize the new translated notices scope, improving data accuracy.
- Added unit tests for the translated notices functionality, ensuring robust validation of the new features.
This update significantly enhances the dashboard's ability to handle translated notice statistics, improving overall data management and reporting capabilities.
- Added new field `Days` and `ScrapedTED` to `SummaryResponse` for tracking daily TED scrape counts.
- Updated `SummaryQuery` to include `Days` parameter for querying scraped TED data.
- Modified `Summary` handler to accept and process the new `Days` parameter.
- Refactored `Summary` method in the repository to support the new `Days` parameter and improved aggregation logic.
- Enhanced caching logic in the service layer to utilize a composite cache key based on `closingWindowSec` and `days`, improving cache management and retrieval efficiency.
This update improves the dashboard's functionality by providing more detailed insights into TED scraping activities and optimizing the caching strategy for better performance.
- Added a new field, ScrapedTEDNotices, to the StatisticsLifetimeTotals struct to track the total number of TED notices scraped.
- Updated the Statistics method in the statistics repository to include a background process for retrieving total scraped TED notices, improving the accuracy of dashboard statistics.
- Introduced new methods in the Counter to increment and retrieve daily counts for scraped TED notices, ensuring reliable metrics for reporting.
- Modified the TEDScraper to increment the TED notice scraped counter upon successful import, enhancing the tracking of scraping activity.
This update improves the dashboard's statistics by providing detailed insights into TED notice scraping activities, contributing to better data visibility and reporting.
- Introduced a new constant, statisticsColdLoadWait, to define the wait time for cold-cache requests before serving a placeholder response.
- Updated the Statistics method to initiate a background load for statistics while allowing for a brief wait for real data, improving responsiveness during cache warming.
- Implemented a channel to handle the result of the background loading process, ensuring that users receive timely feedback while the cache is being populated.
This update optimizes the dashboard's performance by ensuring that users are served quickly, even when the statistics are being freshly loaded from the backend.
- Updated the Statistics method in the dashboard service to initiate a background refresh for statistics while serving a placeholder report, enhancing responsiveness during cache warming.
- Removed blocking calls to load statistics directly, allowing for faster response times.
- Improved logging to indicate when placeholder statistics are served, providing better visibility into the caching process.
This update optimizes the dashboard's performance by ensuring that users receive immediate feedback while the system prepares accurate statistics in the background.
- Updated the dashboard service to integrate Redis caching for improved performance in statistics retrieval.
- Modified the NewService function to accept a Redis client, enabling caching of dashboard statistics.
- Implemented logic to retrieve statistics from Redis, falling back to the database if necessary, and introduced a background process to warm the cache.
- Enhanced error handling and logging for Redis operations to ensure robust statistics management.
- Increased cache duration for scraped documents and adjusted timeout settings for MongoDB queries to optimize performance.
This update significantly improves the responsiveness and efficiency of the dashboard by leveraging Redis for caching statistics.
- Increased the cache duration for dashboard statistics from 60 seconds to 5 minutes, improving data freshness and reducing load on the backend.
- Introduced a stale cache mechanism that allows retrieval of stale statistics while refreshing them in the background, enhancing user experience by providing quicker access to data.
- Updated the statistics repository to handle the new caching logic, ensuring accurate and timely statistics reporting.
- Added tests to validate the new caching behavior and ensure the integrity of statistics retrieval.
This update optimizes the dashboard's performance and responsiveness by improving the caching strategy for statistics.
- Introduced the `scrapedDocumentsScanner` interface to facilitate scanning of scraped documents from MinIO, returning both procedure summaries and daily document counts.
- Updated the `ListProceduresWithDocuments` method to utilize the new scanning functionality, improving data retrieval efficiency.
- Enhanced the `scrapedDocumentsPerDay` method to filter daily counts based on a specified start date, ensuring accurate reporting of document statistics.
- Added unit tests for the new scanning logic and daily counts filtering, ensuring robust functionality and error handling.
This update enhances the dashboard's document management capabilities, providing better insights into scraped documents and their daily counts.
- Introduced caching mechanisms for summary and statistics in the dashboard service, improving performance by reducing redundant data retrieval.
- Refactored the Summary method to utilize MongoDB aggregation for more efficient data processing and retrieval.
- Added synchronization features using singleflight to prevent duplicate processing of requests for cached data.
- Updated the repository to include a cachedScrapedTendersScope method, enhancing the efficiency of scraped document statistics retrieval.
This update significantly optimizes the dashboard's performance and data handling capabilities, ensuring faster response times and reduced load on the database.
- Introduced a new `scrapedTendersScope` type to encapsulate the MongoDB filter for tenders with scraped documents, improving clarity and maintainability.
- Updated the `Statistics` method to utilize the new scope resolution, allowing for more accurate data retrieval based on the presence of scraped documents.
- Implemented multiple tests for the `resolveScrapedTendersScope` method, ensuring correct behavior for various scenarios, including empty and fallback cases.
This update enhances the dashboard's ability to manage scraped document statistics, improving overall data accuracy and system performance.
- Introduced the ProcedureDocumentsLister interface to list contract folders with scraped documents, enhancing the accuracy of document-scrape statistics.
- Updated the dashboard repository to accept ProcedureDocumentsLister as a dependency, allowing for improved data retrieval.
- Implemented tests for the new functionality, ensuring proper handling of scraped document folder IDs and error propagation.
This update enhances the dashboard's capability to manage and report on scraped documents, improving overall system efficiency and data integrity.
- Updated the `Statistics` method to utilize `created_at` instead of `processing_metadata.scraped_at` for fetching daily counts, ensuring accurate historical data representation.
- Removed redundant conditions in the `scrapedDocumentsPerDay` method, streamlining the query logic for better performance and clarity.
- Added a new index on `source` and `created_at` to optimize database queries related to scraped documents.
This update enhances the accuracy of data retrieval in the dashboard statistics, improving the overall efficiency of the tender management system.
- Changed the default MinIO bucket name from "opplens-documents" to "opplens" across multiple configuration files.
- Introduced caching for dashboard statistics in the service layer to improve performance and reduce redundant data fetching.
- Implemented a mutex for thread-safe access to cached statistics, ensuring data integrity during concurrent requests.
This update streamlines the configuration for the AI summarizer and optimizes the dashboard service, enhancing overall system efficiency.
- Updated `InitAISummarizerClient` to accept `mongoManager` for tracking translation success.
- Introduced new `Statistics` endpoint in the dashboard to fetch scraping and translation statistics.
- Enhanced `TranslationWorker` to utilize the new success counter for tracking successful translations.
- Added necessary data structures and query forms for statistics reporting.
This refactor improves the tracking of AI translation success and provides new insights through the dashboard statistics.
Mazyar